{"data":{"id":"7197cb1c-3d0d-497d-a526-261d8595c81d","title":"AI-driven cyberattacks will start to be the 'new norm' in months, Palo Alto warns","summary":"Palo Alto Networks warns that hackers are increasingly using AI models to find and exploit software vulnerabilities (weaknesses in code that attackers can use), and companies have only 3-5 months to strengthen their defenses before AI-driven attacks become common. Security teams are under pressure as more sophisticated AI models make it easier for attackers to discover previously unknown vulnerabilities faster than companies can fix them.","solution":"Palo Alto Networks announced it will roll out 'virtual patching capabilities' (temporary security measures that block attacks without changing the underlying code) 'very soon.' Additionally, Anthropic limited early access to its Mythos model to a select group of companies, including Palo Alto Networks, CrowdStrike, Amazon, Apple, and JPMorgan, to test and fix vulnerabilities before hackers can exploit them. OpenAI also launched its GPT-5.5-Cyber model and Daybreak cyber initiative to address these threats.","labels":["security","industry"],"sourceUrl":"https://www.cnbc.com/2026/05/13/palo-alto-ai-cyberattacks-mythos-gpt.html","publishedAt":"2026-05-13T21:58:45.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["other"],"issueType":"news","affectedPackages":null,"affectedVendors":["Anthropic","OpenAI","Google"],"affectedVendorsRaw":["Anthropic","Mythos","Google","OpenAI","GPT-5.5-Cyber","Daybreak","Palo Alto Networks","CrowdStrike","Amazon","Apple","JPMorgan"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":"2026-05-13T21:58:45.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity","availability"],"aiComponentTargeted":"model","llmSpecific":true,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":null}}